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检索条件"任意字段=2012 IEEE Visual Communications and Image Processing, VCIP 2012"
124 条 记 录,以下是41-50 订阅
排序:
SINGLE image SUPER-RESOLUTION VIA PHASE CONGRUENCY ANALYSIS
SINGLE IMAGE SUPER-RESOLUTION VIA PHASE CONGRUENCY ANALYSIS
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ieee International Conference on visual communications and image processing (vcip)
作者: Yu, Licheng Xu, Yi Zhang, Bo Shanghai Jiao Tong Univ Dept Elect Engn Shanghai Key Lab Digital Media Proc & Commun Shanghai 200240 Peoples R China
Single image super-resolution (SR) is a severely unconstrained task. While the self-example-based methods are able to reproduce sharp edges, they perform poorly for textures. For recovering the fine details, higher-le... 详细信息
来源: 评论
Mining Larger Class Activation Map with Common Attribute Labels
Mining Larger Class Activation Map with Common Attribute Lab...
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ieee International Conference on visual communications and image processing (vcip)
作者: Zhang, Runtong Meng, Fanman Li, Hongliang Wu, Qingbo Ngan, King N. Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu Peoples R China
Class Activation Map (CAM) is the visualization of target regions generated from classification networks. However, classification network trained by class-level labels only has high responses to a few features of obje... 详细信息
来源: 评论
A novel in-loop filter based on CLDT masking effect model for HEVC
A novel in-loop filter based on CLDT masking effect model fo...
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2012 ieee visual communications and image processing, vcip 2012
作者: Luo, Binji Liu, Chonghua Zhang, Gong Ye, Feng Yang, Bo School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 China Beijing Institute of Spacecraft System Engineering Beijing 100094 China College of Mathematics and Computer Science Fujian Normal University Fuzhou 350001 China
HEVC is the current joint video coding standardization project of ITU-T Video Coding Experts Group and Moving Picture Experts Group. It includes deblocking filter (DF) and adaptive loop filter (ALF) after the deblocki... 详细信息
来源: 评论
Hybrid Representation for 4D Medical image Compression
Hybrid Representation for 4D Medical Image Compression
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2024 Conference on visual communications and image processing
作者: Zheng, Wuyang Meng, Jiarui Zhang, Jiaqi Zhang, Jian Ma, Siwei Peking Univ Sch Elect & Comp Engn Beijing Peoples R China Peking Univ Sch Comp Sci Beijing Peoples R China
Due to the substantial storage requirements of the 4D medical images, achieving efficient compression of such images is a crucial topic. Existing traditional image/video coding methods have achieved remarkable results... 详细信息
来源: 评论
visual communications and image processing Conference
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ieee CONSUMER ELECTRONICS MAGAZINE 2012年 第3期1卷 50-+页
作者: [Anonymous]
来源: 评论
Packetization Strategies for MVD-based 3D Video Transmission
Packetization Strategies for MVD-based 3D Video Transmission
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30th ieee Conference on visual communications and image processing (vcip)
作者: Zhang, Xue Zhao, Yao Tillo, Tammam Lin, Chunyu Xiao, Jimin Wang, Anhong Beijing Jiaotong Univ Inst Informat Sci Beijing Peoples R China Xian Jiaotong Liverpool Univ Dept Elect & Elect Engn Suzhou Peoples R China Taiyuan Univ Sci & Technol Inst Digital Media & Commun Taiyuan Peoples R China
In multi-view video plus depth (MVD) format, virtual views are synthesized by the compressed texture videos and their associated depth through depth-image-based rendering. In this paper, we consider the setup where bo... 详细信息
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Multiscale Vision Transformer with Deep Clustering-Guided Refinement for Weakly Supervised Object Localization
Multiscale Vision Transformer with Deep Clustering-Guided Re...
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2023 ieee International Conference on visual communications and image processing, vcip 2023
作者: Kim, David Minkwan Cha, Sinhae Kang, Byeongkeun Hanyang University Department of Computer Science Seoul Korea Republic of Seoul National University of Science and Technology Department of Electronic Engineering Seoul Korea Republic of
This work addresses the task of weakly-supervised object localization. The goal is to learn object localization using only image-level class labels, which are much easier to obtain compared to bounding box annotations... 详细信息
来源: 评论
A Near Lossless Learned image Coding Network Quantization Approach for Cross-Platform Inference
A Near Lossless Learned Image Coding Network Quantization Ap...
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2023 ieee International Conference on visual communications and image processing, vcip 2023
作者: Hang, Xinyu Jia, Chuanmin Ma, Siwei Gao, Wen Peking University National Engineering Research Center on Visual Technology School of Computer Science China Peking University National Key Laboratory for Multimedia Information Processing School of Computer Science China Peking University Wangxuan Institute of Computer Technology China
This paper presents an innovative pipeline design for the quantization of neural image codecs, ensuring robust and consistent deployment across various platform inferences. Our approach addresses a significant challen... 详细信息
来源: 评论
Reducing HEVC encoding complexity using two-stage motion estimation
Reducing HEVC encoding complexity using two-stage motion est...
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visual communications and image processing, vcip 2015
作者: Cebrian-Marquez, Gabriel Chi, Chi Ching Martinez, Jose Luis Cuenca, Pedro Alvarez-Mesa, Mauricio Sanz-Rodriguez, Sergio Juurlink, Ben University of Castilla-La Mancha Albacete Spain Technische Universität Berlin Berlin Germany
We propose a technique for optimizing the High Efficiency Video Coding (HEVC) encoder by reducing the number of operations performed in the motion estimation stage. The technique is based on the fact that a significan... 详细信息
来源: 评论
Hybrid Implicit Neural image Compression with Subpixel Context Model and Iterative Pruner
Hybrid Implicit Neural Image Compression with Subpixel Conte...
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2023 ieee International Conference on visual communications and image processing, vcip 2023
作者: Li, Hangyu Jiang, Wei Li, Litian Zhai, Yongqi Wang, Ronggang Peking University Shenzhen Graduate School Shenzhen China Pengcheng Laboratory Shenzhen China
Recently, image compression based on Implicit Neural Representation (INR) has gained interest. However, the performance of INR-based methods is poor because MLP can not fit high-frequency information well. Recently, a... 详细信息
来源: 评论